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AssigneeInternational Business Machines Corporation
InventorsFLORA GILBOA-SOLOMON, EFRAT HEXTER, DANA LEVANONY, AVIAD ZLOTNICK
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Embodiments may include techniques to choose a model based on a similarity of computed features of an input to computed features of several models in order to improve feature analysis using Machine Learning models. A method of image analysis may comprise extracting a training feature vector corresponding to each of the plurality of machine learning models from each validation image from a plurality of machine learning models trained using a plurality of validation images, extracting from a new image a new feature vector corresponding to each of the plurality of machine learning models, comparing each new feature vector corresponding to each machine learning model with the training feature vector corresponding to each of the plurality of machine learning models, and selecting and outputting an inference for the new image generated by the machine learning model for which the new feature vector and the training feature vector are most similar.
A method of image analysis, implemented in a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, the method comprising:
A system for image analysis, the system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor to perform:
A computer program product for image analysis, the computer program product comprising a non-transitory computer readable storage having program instructions embodied therewith, the program instructions executable by a computer, to cause the computer to perform a method comprising:
Dependencies are inferred from the claim text.